Beyond bond links in complex networks:Local bridges, global bridges and silk links

Chung Yuan Huang, Wei Chien Benny Chin*, Yu Hsiang Fu, Yu Shiuan Tsai

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

6 Scopus citations

Abstract

Many network researchers use intuitive or basic definitions when discussing the importance of strong and weak links and their roles. Others use an approach best described as “if not strong, then weak” to determine the strengths and weaknesses of individual links, thus deemphasizing hierarchical network structures that allow links to express different strength levels. Here we describe our proposal for a hierarchical edge type analysis (HETA) algorithm for determining link types at multiple network hierarchy levels based on the common neighbor concept plus statistical factors such as bond links, kth-layer local bridges, global bridges, and silk links—all generated during long-term network development and evolution processes. Two sets of networks were used to validate our proposed algorithm, one consisting of 16 networks employed in multiple past studies, and one consisting of two types of one-dimensional small-world networks expressing different random rewiring or shortcut addition probabilities. Two applications with potential for developmental contributions are demonstrated: a network fingerprint analysis framework, and a hierarchical network community partition method.

Original languageEnglish
Article number121027
JournalPhysica A: Statistical Mechanics and its Applications
Volume536
DOIs
StatePublished - 15 12 2019

Bibliographical note

Publisher Copyright:
© 2019 The Authors

Keywords

  • Common neighbor concept
  • Edge type analysis
  • Fingerprint analysis
  • Hierarchical community partition
  • Hierarchy of links
  • Network topology

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